Leaving expressive languages aside, the exploitation of CSIs implied by structures within CPDs of ground BNs is itself a difficult problem that has puzzled researchers for decades. Research in this direction has mainly been focused on exact inference [1]}, [2]}. Nowadays, it is common to use knowledge compilation-based exact inference for this purpose [3]}, [4]}, [5]}; however, this approach does not apply to hybrid models. The problem of exploiting CSIs in hybrid models is non-trivial and is poorly studied. Recently, it has attracted some attention [6]}. However, proposed approaches are also exact and rely on complicated weighted model integration [7]}, which do not scale. CS-LW that we propose for BNs is simple, scalable, and applies to hybrid BNs.
